Active, or continuous, authentication is gradually gaining grounds as the preferred method of personal authentication. This is due to the limited nature of standard authentication methods that are unable to guarantee user ...

The frequency-domain properties of time series have been found to contain valuable information in many studies. It is often the case that biomedical time series are collected from multiple participants in conjunction with ...

A botnet is a network of compromised machines remotely controlled by an attacker. Over the past two decades, the modus operandi of botnets has evolved to facilitate a wide array of attacks ranging from stealthy exfiltration ...

This paper revisits a longstanding problem of interest concerning the distributed control of an epidemic process on human contact networks. Due to the stochastic nature and combinatorial complexity of the problem, Finding ...

Tropical cyclones (TCs) can cause heavy casualties due to storm surge, high wind gusts, heavy rainfall and flooding, and landslides, so predicting TC is important. There are mainly two elements of TC forecasting: tracking ...

The purpose of this research is to determine the optimal strategy for a single team when participating in the National Football League (NFL) Draft using Approximate Dynamic Programming (ADP). General managers and coaches ...

Navy decision makers and program sponsors must decide on future investments in the context of forecasted threats and operating environments. Investment assessments are difficult in that forecasted costs and utilities are ...

Mobile app markets have created a fundamental shift in the way software is delivered to the consumers. The benefits of this software supply model are plenty, including the ability to rapidly and effectively deploy, maintain, ...

In this thesis, we have first characterized candidates of the Competition for Authenticated Encryption, Security, Applicability, and Robustness (CAESAR). Then, we have chosen five candidates from the Round 2 and Round 3 ...

Island models (IMs) are a class of distributed evolutionary algorithms (EAs) in which the population is split into multiple sub-populations called islands. Separate EAs run independently on each island, but they interact ...